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    Models/Audio Classification/Lajavaness/wav2vec2-lg-xlsr-fr-speech-emotion-recognition
    Audio Classificationtransformersapache-2.0

    wav2vec2-lg-xlsr-fr-speech-emotion-recognition

    by Lajavaness

    Identifier
    Model ID
    Lajavaness/wav2vec2-lg-xlsr-fr-speech-emotion-recognition

    Tags

    transformerssafetensorswav2vec2audio-classificationemotion-recognitionspeechfrenchclassificationaudioemotionfrlicense:apache-2.0endpoints_compatibledeploy:azureregion:us

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    How It Runs on Mixpeek

    On Mixpeek, wav2vec2-lg-xlsr-fr-speech-emotion-recognition runs as a managed extractor inside a processing pipeline. Point a bucket of audio classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.